Biophysical and structural studies of protein and enzyme mechanism, evolution, and engineering

蛋白质和酶机制、进化和工程的生物物理和结构研究

基本信息

  • 批准号:
    10550521
  • 负责人:
  • 金额:
    $ 41.07万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-06-01 至 2028-05-31
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract Among the several ongoing revolutions in biological research, two (the ability to visualize increasingly complex biomolecular machines and assemblages and the ability to create novel protein structures and corresponding functions) represent the foundation of our laboratory's research program. For many years, we have divided its activities between (i) determining the structures, mechanisms and biological roles of gene targeting proteins and base modifying enzymes, and (ii) employing protein engineering to create new protein folds, assemblages, and functions, and to test our understanding of protein form and function. We now plan to renew and expand upon our research mission by address several questions and problems in the fields of nucleic acid enzymology, molecular recognition, and protein engineering. The first two projects will build upon our experience studying and engineering homing endonucleases (also called `meganucleases'). In doing so, we will answer questions surrounding the evolution, recognition mechanisms and engineerability of (i) sequence-specific microbial RNA endonucleases and (ii) eukaryotic retrotransposons. We plan to leverage our basic studies of these systems to create new tools for transcriptomic analyses and genome engineering, respectively. The third project addresses a current challenge in protein engineering: the accurate design of biomolecular interfaces that rely heavily on stereospecific hydrogen-bond networks to facilitate the balance of affinity, specificity and reversibility that is a hallmark of biomolecular interactions and regulation. To do so, we will create and then couple together protein- protein and protein-small molecule binding functions through the creation of novel synthetic ligand-induced protein multimerization systems. The project will contribute to the field of molecular design and engineering by optimizing strategies for the accurate design of stereospecific hydrogen bond networks for that facilitate protein-protein and protein-ligand recognition and binding.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

BARRY L. STODDARD其他文献

BARRY L. STODDARD的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('BARRY L. STODDARD', 18)}}的其他基金

Combined computational and structural studies to create novel macromolecular recognition properties
结合计算和结构研究来创造新的大分子识别特性
  • 批准号:
    10543489
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
Combined computational and structural studies to create novel macromolecular recognition properties
结合计算和结构研究来创造新的大分子识别特性
  • 批准号:
    10643001
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
Combined computational and structural studies to create novel macromolecular recognition properties
结合计算和结构研究来创造新的大分子识别特性
  • 批准号:
    10372918
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
Determination of the basis of ligand binding via engineering and crystallography
通过工程和晶体学确定配体结合的基础
  • 批准号:
    9134178
  • 财政年份:
    2015
  • 资助金额:
    $ 41.07万
  • 项目类别:
MegaTALS: hyperspecific reagents for targeted gene modification and correction
MegaTALS:用于靶向基因修饰和校正的超特异性试剂
  • 批准号:
    10080736
  • 财政年份:
    2014
  • 资助金额:
    $ 41.07万
  • 项目类别:
MegaTALS: hyperspecific reagents for targeted gene modification and correction
MegaTALS:用于靶向基因修饰和校正的超特异性试剂
  • 批准号:
    10312783
  • 财政年份:
    2014
  • 资助金额:
    $ 41.07万
  • 项目类别:
MegaTALS: hyperspecific reagents for targeted gene modification and correction
MegaTALS:用于靶向基因修饰和校正的超特异性试剂
  • 批准号:
    10615422
  • 财政年份:
    2014
  • 资助金额:
    $ 41.07万
  • 项目类别:
MegaTALS: hyperspecific reagents for targeted gene modification and correction
MegaTALS:用于靶向基因修饰和校正的超特异性试剂
  • 批准号:
    8629497
  • 财政年份:
    2014
  • 资助金额:
    $ 41.07万
  • 项目类别:
Structural and Biophysical Characterization of Engineered Homing Endonucleases (C
工程化归巢核酸内切酶 (C) 的结构和生物物理表征
  • 批准号:
    7858482
  • 财政年份:
    2007
  • 资助金额:
    $ 41.07万
  • 项目类别:
Structural and Biophysical Characterization of Engineered Homing Endonucleases (C
工程化归巢核酸内切酶 (C) 的结构和生物物理表征
  • 批准号:
    7651365
  • 财政年份:
    2007
  • 资助金额:
    $ 41.07万
  • 项目类别:

相似海外基金

Applications of Deep Learning for Binding Affinity Prediction
深度学习在结合亲和力预测中的应用
  • 批准号:
    2887848
  • 财政年份:
    2023
  • 资助金额:
    $ 41.07万
  • 项目类别:
    Studentship
Metalloenzyme binding affinity prediction with VM2
使用 VM2 预测金属酶结合亲和力
  • 批准号:
    10697593
  • 财政年份:
    2023
  • 资助金额:
    $ 41.07万
  • 项目类别:
Building a binding community - Capacity and capability for affinity and kinetic analysis of molecular interactions.
建立结合社区 - 分子相互作用的亲和力和动力学分析的能力和能力。
  • 批准号:
    MR/X013227/1
  • 财政年份:
    2022
  • 资助金额:
    $ 41.07万
  • 项目类别:
    Research Grant
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长程氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10797940
  • 财政年份:
    2022
  • 资助金额:
    $ 41.07万
  • 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10502084
  • 财政年份:
    2022
  • 资助金额:
    $ 41.07万
  • 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10707418
  • 财政年份:
    2022
  • 资助金额:
    $ 41.07万
  • 项目类别:
Binding affinity of inositol phosphate analogs to protein toxin TcdB
磷酸肌醇类似物与蛋白质毒素 TcdB 的结合亲和力
  • 批准号:
    573604-2022
  • 财政年份:
    2022
  • 资助金额:
    $ 41.07万
  • 项目类别:
    University Undergraduate Student Research Awards
Computational predictions of thermostability and binding affinity changes in enzymes
酶热稳定性和结合亲和力变化的计算预测
  • 批准号:
    2610945
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
    Studentship
I-Corps: Physics-Based Binding Affinity Estimator
I-Corps:基于物理的结合亲和力估计器
  • 批准号:
    2138667
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
    Standard Grant
Computational modelling and simulation of antibodies to enhance binding affinity of a potential Burkholderia pseudomallei therapeutic
抗体的计算模型和模拟,以增强潜在的鼻疽伯克霍尔德氏菌治疗剂的结合亲和力
  • 批准号:
    2750554
  • 财政年份:
    2021
  • 资助金额:
    $ 41.07万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了